收稿日期: 2024-08-01
网络出版日期: 2024-11-25
基金资助
四川省科技计划项目(24ZDYF1028)
Progress in assessing the treatment accuracy of liver stereotactic body radiotherapy through post-therapeutic magnetic resonance imaging morphologic alterations
Received date: 2024-08-01
Online published: 2024-11-25
在原发性肝癌和转移性肝癌治疗中,可以采用立体定向放射治疗技术(SBRT)给予肿瘤高剂量以达到消融治疗的效果。由于SBRT单次高剂量的特点,使其对放疗精度有更高的要求。尤其是肝癌受摆位误差与呼吸运动的影响,需要同时使用呼吸运动管理和影像引导。然而,现有研究者报道的放疗精度验证均使用模体进行间接验证,而不是在患者治疗实施过程中进行在体验证,使得最终的治疗精度受到怀疑。肝脏在接受一定放射治疗剂量后会在磁共振影像中呈现相应的形态学改变,可以反映放射治疗的精度。该文将就肝癌体部立体定向放射治疗后磁共振影像改变的发生原理、表现形式和出现时间、精度评价方式、临床困境及未来发展方向进行讨论分析。
关键词: 磁共振影像; 体部立体定向放射治疗; 肝癌; 呼吸运动管理
叶惠玲 , 钟仁明 . 磁共振影像学改变评估肝癌立体定向放疗精度的研究进展[J]. 实用医学杂志, 2024 , 40(22) : 3119 -3123 . DOI: 10.3969/j.issn.1006-5725.2024.22.001
In the treatment of primary liver cancer and metastatic liver cancer, stereotactic body radiotherapy (SBRT) can be utilized to administer high doses of radiation for achieving ablative therapeutic effects. Given the singular nature of delivering high-dose radiation through SBRT, a higher level of precision is required in radiation therapy. Particularly, liver cancer is susceptible to positioning errors and respiratory motion, necessitating the implementation of respiratory motion management and image guidance techniques. However, existing accuracy verification methods for radiation therapy primarily rely on phantom studies, making it challenging to conduct in?vivo verification during treatment execution. Research has indicated that the liver exhibits corresponding morphological changes in magnetic resonance imaging following exposure to specific doses of radiation therapy, thereby serving as an indicator for assessing treatment accuracy. This article aims to discuss and analyze the principles underlying magnetic resonance imaging alterations after stereotactic body radiotherapy for liver cancer, including their manifestations, timing of appearance, evaluation methodologies for accuracy assessment, clinical challenges encountered during implementation, as well as future directions for development.
| 1 | SUNG H, FERLAY J, SIEGEL R L, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries[J]. CA Cancer J Clin, 2021, 71(3): 209-249. doi:10.3322/caac.21660 |
| 2 | 郑荣寿, 张思维, 孙可欣, 等. 2016年中国恶性肿瘤流行情况分析[J]. 中华肿瘤杂志, 2023, 45(3): 212-220. doi:10.3760/cma.j.cn112152-20220922-00647 |
| 3 | HORN S R, STOLTZFUS K C, LEHRER E J, et al. Epidemiology of liver metastases[J]. Cancer Epidemiol, 2020, 67: 101760. doi:10.1016/j.canep.2020.101760 |
| 4 | PALMA D A, OLSON R, HARROW S, et al. Stereotactic ablative radiotherapy versus standard of care palliative treatment in patients with oligometastatic cancers (SABR-COMET): A randomised, phase 2, open-label trial[J]. Lancet, 2019, 393(10185): 2051-2058. doi:10.1016/s0140-6736(18)32487-5 |
| 5 | CLERICI E, COMITO T, FRANZESE C, et al. Role of stereotactic body radiation therapy in the treatment of liver metastases: Clinical results and prognostic factors[J]. Strahlenther Onkol, 2020, 196(4): 325-333. doi:10.1007/s00066-019-01524-8 |
| 6 | MéNDEZ ROMERO A, SCHILLEMANS W, VAN OS R, et al. The Dutch-Belgian Registry of Stereotactic Body Radiation Therapy for Liver Metastases: Clinical Outcomes of 515 Patients and 668 Metastases[J]. Int J Radiat Oncol Biol Phys, 2021, 109(5): 1377-1386. doi:10.1016/j.ijrobp.2020.11.045 |
| 7 | ZHANG X, WANG X, LI X, et al. Evaluating the impact of possible interobserver variability in CBCT-based soft-tissue matching using TCP/NTCP models for prostate cancer radiotherapy[J]. Radiat Oncol, 2022, 17(1): 62. doi:10.1186/s13014-022-02034-1 |
| 8 | VAN DE LINDT T N, FAST M F, VAN DEN WOLLENBERG W, et al. Validation of a 4D-MRI guided liver stereotactic body radiation therapy strategy for implementation on the MR-linac[J]. Phys Med Biol, 2021, 66(10): 105010. doi:10.1088/1361-6560/abfada |
| 9 | HENZEN D, SCHMIDHALTER D, GUYER G, et al. Feasibility of postoperative spine stereotactic body radiation therapy in proximity of carbon and titanium hybrid implants using a robotic radiotherapy device[J]. Radiat Oncol, 2022, 17(1): 94. doi:10.1186/s13014-022-02058-7 |
| 10 | BODA-HEGGEMANN J, JAHNKE A, CHAN M K H, et al. In-vivo treatment accuracy analysis of active motion-compensated liver SBRT through registration of plan dose to post-therapeutic MRI-morphologic alterations[J]. Radiother Oncol, 2019, 134: 158-165. doi:10.1016/j.radonc.2019.01.023 |
| 11 | LEE J, SHIN I S, YOON W S, et al. Comparisons between radiofrequency ablation and stereotactic body radiotherapy for liver malignancies: Meta-analyses and a systematic review[J]. Radiother Oncol, 2020, 145: 63-70. doi:10.1016/j.radonc.2019.12.004 |
| 12 | PRICE T R, PERKINS S M, SANDRASEGARAN K, et al. Evaluation of response after stereotactic body radiotherapy for hepatocellular carcinoma[J]. Cancer, 2012, 118(12): 3191-3198. doi:10.1002/cncr.26404 |
| 13 | HUANG W Y, JEN Y M, LEE M S, et al. Stereotactic body radiation therapy in recurrent hepatocellular carcinoma[J]. Int J Radiat Oncol Biol Phys, 2012, 84(2): 355-361. doi:10.1016/j.ijrobp.2011.11.058 |
| 14 | VAN DAMS R, WU T C, KISHAN A U, et al. Ablative radiotherapy for liver tumors using stereotactic MRI-guidance: A prospective phase I trial[J]. Radiother Oncol, 2022, 170: 14-20. doi:10.1016/j.radonc.2021.06.005 |
| 15 | SHARMA M, NANO T F, AKKATI M, et al. A systematic review and meta-analysis of liver tumor position variability during SBRT using various motion management and IGRT strategies[J]. Radiother Oncol, 2022, 166: 195-202. doi:10.1016/j.radonc.2021.11.022 |
| 16 | KEALL P J, MAGERAS G S, BALTER J M, et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76[J]. Med Phys, 2006, 33(10): 3874-3900. doi:10.1118/1.2349696 |
| 17 | OAR A, LINEY G, RAI R, et al. First experience of 4D-MRI for abdominal radiotherapy planning[M]// TANADINI-LANG S, GUCKENBERGER M. MReadings: MR in RT. 4th ed. Erlangen: Siemens Healthineers AG, 2019: 50-53. doi:10.1016/s0167-8140(18)30605-4 |
| 18 | WANG H, ZHENG X, SUN J, et al. 4D-MRI assisted stereotactic body radiation therapy for unresectable colorectal cancer liver metastases[J]. Clin Transl Radiat Oncol, 2024, 45: 100714. doi:10.1016/j.ctro.2023.100714 |
| 19 | MURRAY V, SIDDIQ S, CRANE C, et al. Movienet: Deep space-time-coil reconstruction network without k-space data consistency for fast motion-resolved 4D MRI[J]. Magn Reson Med, 2024, 91(2): 600-614. doi:10.1002/mrm.29892 |
| 20 | FENG L. Live-view 4D GRASP MRI: A framework for robust real-time respiratory motion tracking with a sub-second imaging latency[J]. Magn Reson Med, 2023, 90(3): 1053-1068. doi:10.1002/mrm.29700 |
| 21 | 方键蓝, 方涌文, 刘镖水, 等. Catalyst HD光学体表引导发泡胶固定乳腺癌调强放疗摆位精度的研究[J]. 实用医学杂志, 2022, 38(5): 547-551. |
| 22 | TAKAI K, WATANABE R, HYOGO K I, et al. Treatment outcome of localized prostate cancer using transperineal ultrasound image-guided radiotherapy[J]. Radiat Oncol, 2024, 19(1): 100. doi:10.1186/s13014-024-02490-x |
| 23 | ABULIMITI M, YANG X, LI M, et al. Application of four-dimensional cone beam computed tomography in lung cancer radiotherapy[J]. Radiat Oncol, 2023, 18(1): 69. doi:10.1186/s13014-023-02259-8 |
| 24 | BOLDRINI L, ROMANO A, MARIANI S, et al. MRI-guided stereotactic radiation therapy for hepatocellular carcinoma: A feasible and safe innovative treatment approach[J]. J Cancer Res Clin Oncol, 2021, 147(7): 2057-2068. doi:10.1007/s00432-020-03480-8 |
| 25 | BORDEAU K, MICHALET M, DORION V, et al. A prospective registry study of stereotactic magnetic resonance guided radiotherapy (MRgRT) for primary liver tumors[J]. Radiother Oncol, 2023, 189: 109912. doi:10.1016/j.radonc.2023.109912 |
| 26 | HERFARTH K K, HOF H, BAHNER M L, et al. Assessment of focal liver reaction by multiphasic CT after stereotactic single-dose radiotherapy of liver tumors[J]. Int J Radiat Oncol Biol Phys, 2003, 57(2): 444-451. doi:10.1016/s0360-3016(03)00586-8 |
| 27 | SEIDENSTICKER M, SEIDENSTICKER R, MOHNIKE K, et al. Quantitative in vivo assessment of radiation injury of the liver using Gd-EOB-DTPA enhanced MRI: Tolerance dose of small liver volumes[J]. Radiat Oncol, 2011, 6: 40. doi:10.1186/1748-717x-6-40 |
| 28 | SEIDENSTICKER M, BURAK M, KALINSKI T, et al. Radiation-induced liver damage: Correlation of histopathology with hepatobiliary magnetic resonance imaging, a feasibility study[J]. Cardiovasc Intervent Radiol, 2015, 38(1): 213-221. doi:10.1007/s00270-014-0872-7 |
| 29 | ASUNCION A, WALKER P M, BERTAUT A, et al. Prediction of prostate cancer recurrence after radiation therapy using multiparametric magnetic resonance imaging and spectroscopy: Assessment of prognostic factors on pretreatment imaging[J]. Quant Imaging Med Surg, 2022, 12(12): 5309-5325. doi:10.21037/qims-22-184 |
| 30 | MAI Z, YANG Q, XU J, et al. Response evaluation of hepatocellular carcinoma treated with stereotactic body radiation therapy: Magnetic resonance imaging findings[J]. Quant Imaging Med Surg, 2023, 48(6): 1995-2007. doi:10.1007/s00261-023-03827-y |
| 31 | OLSEN C C, WELSH J, KAVANAGH B D, et al. Microscopic and macroscopic tumor and parenchymal effects of liver stereotactic body radiotherapy[J]. Int J Radiat Oncol Biol Phys, 2009, 73(5): 1414-1424. doi:10.1016/j.ijrobp.2008.07.032 |
| 32 | BODA-HEGGEMANN J, JAHNKE A, CHAN M K H, et al. Direct dose correlation of MRI morphologic alterations of healthy liver tissue after robotic liver SBRT[J]. Strahlenther Onkol, 2018, 194(5): 414-424. doi:10.1007/s00066-018-1271-9 |
| 33 | MASTROCOSTAS K, JANG H J, FISCHER S, et al. Imaging post-stereotactic body radiation therapy responses for hepatocellular carcinoma: Typical imaging patterns and pitfalls[J]. Abdom Radiol, 2019, 44(5): 1795-1807. doi:10.1007/s00261-019-01901-y |
| 34 | SUN X L, JIANG X, KUANG Y, et al. Potential of Gd-EOB-DTPA as an imaging biomarker for liver injury estimation after radiation therapy[J]. Hepatobiliary Pancreat Dis Int, 2019, 18(4): 354-359. doi:10.1016/j.hbpd.2019.05.005 |
| 35 | SANUKI N, TAKEDA A, OKU Y, et al. Threshold Doses for Focal Liver Reaction After Stereotactic Ablative Body Radiation Therapy for Small Hepatocellular Carcinoma Depend on Liver Function: Evaluation on Magnetic Resonance Imaging With Gd-EOB-DTPA[J]. Int J Radiat Oncol Biol Phys, 2014, 88(2): 306-311. doi:10.1016/j.ijrobp.2013.10.045 |
| 36 | DREHER C, SARRIA G R, MIEBACH G, et al. Long-term characterization of MRI-morphologic alterations after active motion-compensated liver SBRT: A multi-institutional pooled analysis[J]. Acta Oncol, 2023, 62(3): 281-289. doi:10.1080/0284186x.2023.2187707 |
| 37 | RIM C H, KIM H J, SEONG J. Clinical feasibility and efficacy of stereotactic body radiotherapy for hepatocellular carcinoma: A systematic review and meta-analysis of observational studies[J]. Radiother Oncol, 2019, 131: 135-144. doi:10.1016/j.radonc.2018.12.005 |
| 38 | HSIEH C E, VENKATESULU B P, LEE C H, et al. Predictors of Radiation-Induced Liver Disease in Eastern and Western Patients With Hepatocellular Carcinoma Undergoing Proton Beam Therapy[J]. Int J Radiat Oncol Biol Phys, 2019, 105(1): 73-86. doi:10.1016/j.ijrobp.2019.02.032 |
| 39 | BAE S H, PARK H C, YOON W S, et al. Treatment Outcome after Fractionated Conformal Radiotherapy for Hepatocellular Carcinoma in Patients with Child-Pugh Classification B in Korea (KROG 16-05)[J]. Cancer Res Treat, 2019, 51(4): 1589-1599. doi:10.4143/crt.2018.687 |
| 40 | ANDRATSCHKE N, ALHEID H, ALLG?UER M, et al. The SBRT database initiative of the German Society for Radiation Oncology (DEGRO): patterns of care and outcome analysis of stereotactic body radiotherapy (SBRT) for liver oligometastases in 474 patients with 623 metastases[J]. BMC Cancer, 2018, 18(1): 283. doi:10.1186/s12885-018-4191-2 |
| 41 | CAO Y, WANG H, JOHNSON T D, et al. Prediction of Liver Function by Using Magnetic Resonance-based Portal Venous Perfusion Imaging[J]. Int J Radiat Oncol Biol Phys, 2013, 85(1): 258. doi:10.1016/j.ijrobp.2012.02.037 |
| 42 | LIANG P C, CH′ANG H J, HSU C, et al. Perfusion parameters of dynamic contrast-enhanced magnetic resonance imaging predict outcomes of hepatocellular carcinoma receiving radiotherapy with or without thalidomide[J]. Hepatol Int, 2015, 9(2): 258-268. doi:10.1007/s12072-014-9557-1 |
| 43 | WANG H, FARJAM R, FENG M, et al. Arterial perfusion imaging-defined subvolume of intrahepatic cancer[J]. Int J Radiat Oncol Biol Phys, 2014, 89(1): 167-174. doi:10.1016/j.ijrobp.2014.01.040 |
| 44 | LIANG P C, CH′ANG H J, HSU C, et al. Dynamic MRI signals in the second week of radiotherapy relate to treatment outcomes of hepatocellular carcinoma: A preliminary result[J]. Liver Int, 2007, 27(4): 516-528. doi:10.1111/j.1478-3231.2007.01456.x |
| 45 | TAKAMATSU S, YAMAMOTO K, MAEDA Y, et al. Evaluation of Focal Liver Reaction after Proton Beam Therapy for Hepatocellular Carcinoma Examined Using Gd-EOB-DTPA Enhanced Hepatic Magnetic Resonance Imaging[J]. PLoS One, 2016, 11(12): e0167155. doi:10.1371/journal.pone.0167155 |
| 46 | NEHLSEN A D, SINDHU K K, WOLKEN T, et al. Characterization and Prediction of Signal Intensity Changes in Normal Liver Parenchyma on Gadoxetic Acid-enhanced MRI Scans after Liver-directed Radiation Therapy[J]. Radiol Imaging Cancer, 2022, 4(4): e210100. doi:10.1148/rycan.210100 |
| 47 | FAST M, VAN DE SCHOOT A, VAN DE LINDT T, et al. Tumor Trailing for Liver SBRT on the MR-Linac[J]. Int J Radiat Oncol Biol Phys, 2019, 103(2): 468-478. doi:10.1016/j.ijrobp.2018.09.011 |
| 48 | YUAN Y, ANDRONESI O C, BORTFELD T R, et al. Feasibility study of in vivo MRI based dosimetric verification of proton end-of-range for liver cancer patients[J]. Radiother Oncol, 2013, 106(3): 378-382. doi:10.1016/j.radonc.2013.01.016 |
| 49 | JUNG J, KIM H, YOON S M, et al. Targeting Accuracy of Image-Guided Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma in Real-Life Clinical Practice: In Vivo Assessment Using Hepatic Parenchymal Changes on Gd-EOB-DTPA-Enhanced Magnetic Resonance Images[J]. Int J Radiat Oncol Biol Phys, 2018, 102(4): 867-874. doi:10.1016/j.ijrobp.2018.05.018 |
| 50 | BODA-HEGGEMANN J, JAHNKE A, CHAN M K H, et al. In-vivo treatment accuracy analysis of active motion-compensated liver SBRT through registration of plan dose to post-therapeutic MRI-morphologic alterations[J]. Radiother Oncol, 2019, 134: 158-165. doi:10.1016/j.radonc.2019.01.023 |
| 51 | BROCK K K, MUTIC S, MCNUTT T R, et al. Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132[J]. Med Phys, 2017, 44(7): e43-e76. doi:10.1002/mp.12256 |
| 52 | LUU M H, MAI H S, PHAM X L, et al. Quantification of liver-Lung shunt fraction on 3D SPECT/CT images for selective internal radiation therapy of liver cancer using CNN-based segmentations and non-rigid registration[J]. Comput Methods Programs Biomed, 2023, 233: 107453. doi:10.1016/j.cmpb.2023.107453 |
| 53 | LEVANDOWSKY M, WINTER D. Distance Between Sets[J]. Nature, 1971, 234(5323): 34. doi:10.1038/234034a0 |
| 54 | CHALANA V, KIM Y M. A methodology for evaluation of boundary detection algorithms on medical images[J]. IEEE Trans Med Imaging, 1997, 16(5): 642-652. doi:10.1109/42.640755 |
| 55 | MENG L, TIAN Y, BU S. Liver tumor segmentation based on 3D convolutional neural network with dual scale[J]. J Appl Clin Med Phys, 2020, 21(1): 144-157. doi:10.1002/acm2.12784 |
| 56 | PIERRARD J, DEHENEFFE S, DECHAMBRE D, et al. Markerless liver online adaptive stereotactic radiotherapy: feasibility analysisCervantes[J]. Phys Med Biol, 2024, 69(9). doi: 10.1088/1361-6560/ad39a1 . |
/
| 〈 |
|
〉 |